搜索资源列表
facereclib-1.2.1
- python 人脸识别库 实现了几个标准的人脸识别算法-python face recgenation
ELM_code
- 极限学习机matlab以及Python程序,最近几年出现的较为新的人工神经网络算法,有基于人脸识别的例子,由作者原网站下载,可运行。-Extreme Learning Machine matlab and Python program, more new artificial neural network algorithm emerged in recent years, there are examples of face recognition based on the original
py_ml
- 简单的人脸识别,及其他机器学习方法,使用scikit-learn。-machine learning using python
FaceRecognition_CNN(olivettifaces)
- 将CNN应用于人脸识别的流程,程序基于Python+numpy+theano+PIL开发,采用类似LeNet5的CNN模型,应用于olivettifaces人脸数据库,实现人脸识别的功能-CNN is applied to the process of face recognition. The program is based on Python+ numpy+ theano+ PIL development, and uses CNN model like LeNet5, which is
XXX
- 模型训练完毕之后,进行检测,进行人脸识别(After the model training is completed, the test is carried out)
deepgaze
- 新的人脸识别调用库,包含中众多人脸的算法,python编程完成,主要涉及人脸姿态估计(图片和视频),人脸表情估计,人脸皮肤检测等等数十种。
SVM_face_recognition
- 基于python的使用SVM的算法实现人脸的识别程序(Face recognition program based on Python based algorithm using SVM)
源码、素材以及效果图
- 项目名称:自动添加圣诞帽 自动识别图片中的人脸信息,为其加上帽圣诞帽。(Name of the project: automatically add a Christmas hat Automatically identify the face information in the picture and add a hat to the hat.)
FaceRecognition-master
- 卷积神经网络实现人脸识别,是用Python写的(Face recognition by convolution neural network)
face_recognition-master
- USB摄像头人脸检测与识别,实时分析,实时获取人脸部信息,python语言开发。(Face detection and recognition of USB camera and real-time analysis.)
03SVM
- 支持向量机的python实现和用于lfw人脸识别的示例(Python implementation of support vector machines and examples of LFW face recognition)
Intelligent-monitoring-platform
- 智能监控平台的网站服务基于Flask开源框架,图像识别与信息提取功能则基于cv2和tensorflow等一系列相关的第三方库。以网页的形式进行人脸识别、目标检测、目标跟踪等,并且可以存储相关的操作记录、用户登录、管理员登录(Intelligent monitoring platform's website service is based on Flask open source framework, while image recognition and information extract
深度学习mtcnn
- 用市面上的摄像头,可以实现实时人脸识别功能。(The algorithm model of facenet face recognition is obtained through deep learning, and the backbone network of feature extraction is concept-resnetv1, which is developed from concept network and RESNET, with more channels and n